Marcelo Rodrigo Portela Ferreira

18 papers B 4C 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
A Dual-Weighted Gaussian Kernel-Based Method for Fuzzy Co-Clustering.
FUZZ
José Nataniel Andrade de Sá, Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
2025 J jnl
CLAIRE: clustering evaluation based on item response theory and model agreement.
Mach. Learn.
Manuel Ferreira Junior, Eufrásio de Andrade Lima Neto, Marcelo Rodrigo Portela Ferreira, Telmo de Menezes e Silva Filho, Ricardo B. C. Prudêncio
2025 J jnl
Fuzzy and Crisp Gaussian Kernel-Based Co-Clustering With Automatic Width Computation.
IEEE Trans. Fuzzy Syst.
José Nataniel Andrade de Sá, Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
2025 J jnl
Kernel clustering with automatic variable weighting for interval data.
Neurocomputing
José Nataniel Andrade de Sá, Marcelo Rodrigo Portela Ferreira, Francisco de Assis Tenório de Carvalho
2022 B conf
Kernel-based Fuzzy Co-clustering in Feature Space with Automated Variable Weighting.
FUZZ-IEEE
José Nataniel Andrade de Sá, Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
2019 — conf
Adaptive- L_2 L 2 Batch Neural Gas.
ICANN (2)
Nicomedes L. Cavalcanti, Marcelo Rodrigo Portela Ferreira, Francisco de Assis Tenório de Carvalho
2018 — conf
Gaussian Kernel-Based Fuzzy Clustering with Automatic Bandwidth Computation.
ICANN (1)
Francisco de A. T. de Carvalho, Lucas V. C. Santana, Marcelo Rodrigo Portela Ferreira
2018 J jnl
Gaussian kernel c-means hard clustering algorithms with automated computation of the width hyper-parameters.
Pattern Recognit.
Francisco de A. T. de Carvalho, Eduardo C. Simões, Lucas V. C. Santana, Marcelo Rodrigo Portela Ferreira
2017 J jnl
A robust regression method based on exponential-type kernel functions.
Neurocomputing
Francisco de A. T. de Carvalho, Eufrásio de Andrade Lima Neto, Marcelo Rodrigo Portela Ferreira
2016 C conf
A Gaussian Kernel-based Clustering Algorithm with Automatic Hyper-parameters Computation.
ISNN
Francisco de A. T. de Carvalho, Marcelo Rodrigo Portela Ferreira, Eduardo C. Simões
2016 J jnl
Kernel-based hard clustering methods with kernelization of the metric and automatic weighting of the variables.
Pattern Recognit.
Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho, Eduardo C. Simões
2014 B conf
A kernel k-means clustering algorithm based on an adaptive Mahalanobis kernel.
IJCNN
Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
2014 J jnl
Kernel fuzzy c-means with automatic variable weighting.
Fuzzy Sets Syst.
Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
2014 J jnl
Kernel-based hard clustering methods in the feature space with automatic variable weighting.
Pattern Recognit.
Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
2012 B conf
Kernel fuzzy clustering methods based on local adaptive distances.
FUZZ-IEEE
Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
2012 B conf
Partitioning hard kernel clustering methods based on local adaptive distances.
SMC
Marcelo Rodrigo Portela Ferreira, Francisco de A. T. de Carvalho
2012 — conf
Variable-Wise Kernel-Based Clustering Algorithms for Interval-Valued Data.
SBRN
Francisco de A. T. de Carvalho, Gibson B. N. Barbosa, Marcelo Rodrigo Portela Ferreira
2009 J jnl
New Bootstrap Applications in Supervised Learning.
Commun. Stat. Simul. Comput.
Getúlio Jose Amorim Amaral, Marcelo Rodrigo Portela Ferreira